Yin, Ping <br/><br/>
Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.  [electronic resource] 

 -  European radiology  Apr 2019 
 - 1841-1847 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article 
<br/><br/><label>ISSN: </label>1432-1084 
<br/><br/><label>Standard No.: </label>10.1007/s00330-018-5730-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adult<br/>Chordoma--diagnostic imaging<br/>Diagnosis, Differential<br/>Female<br/>Giant Cell Tumors--diagnostic imaging<br/>Humans<br/>Image Interpretation, Computer-Assisted--methods<br/>Imaging, Three-Dimensional<br/>Linear Models<br/>Machine Learning<br/>Male<br/>Middle Aged<br/>ROC Curve<br/>Retrospective Studies<br/>Sacrum--diagnostic imaging<br/>Spinal Neoplasms--diagnostic imaging<br/>Support Vector Machine<br/>Tomography, X-Ray Computed